public final class RawPredictRequest extends GeneratedMessageV3 implements RawPredictRequestOrBuilder
Request message for
PredictionService.RawPredict.
Protobuf type google.cloud.aiplatform.v1beta1.RawPredictRequest
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
Static Fields
public static final int ENDPOINT_FIELD_NUMBER
Field Value |
---|
Type | Description |
int | |
HTTP_BODY_FIELD_NUMBER
public static final int HTTP_BODY_FIELD_NUMBER
Field Value |
---|
Type | Description |
int | |
Static Methods
public static RawPredictRequest getDefaultInstance()
public static final Descriptors.Descriptor getDescriptor()
public static RawPredictRequest.Builder newBuilder()
public static RawPredictRequest.Builder newBuilder(RawPredictRequest prototype)
public static RawPredictRequest parseDelimitedFrom(InputStream input)
public static RawPredictRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static RawPredictRequest parseFrom(byte[] data)
Parameter |
---|
Name | Description |
data | byte[]
|
public static RawPredictRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static RawPredictRequest parseFrom(ByteString data)
public static RawPredictRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static RawPredictRequest parseFrom(CodedInputStream input)
public static RawPredictRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static RawPredictRequest parseFrom(InputStream input)
public static RawPredictRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static RawPredictRequest parseFrom(ByteBuffer data)
public static RawPredictRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Parser<RawPredictRequest> parser()
Methods
public boolean equals(Object obj)
Parameter |
---|
Name | Description |
obj | Object
|
Overrides
public RawPredictRequest getDefaultInstanceForType()
public String getEndpoint()
Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Returns |
---|
Type | Description |
String | The endpoint.
|
public ByteString getEndpointBytes()
Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Returns |
---|
Type | Description |
ByteString | The bytes for endpoint.
|
getHttpBody()
public HttpBody getHttpBody()
The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have
an upper limit on the number of instances it supports per request. When
this limit it is exceeded for an AutoML model, the
RawPredict
method returns an error. When this limit is exceeded for a custom-trained
model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model.
This schema applies when you deploy the Model
as a DeployedModel
to an
Endpoint and use the
RawPredict
method.
.google.api.HttpBody http_body = 2;
Returns |
---|
Type | Description |
com.google.api.HttpBody | The httpBody.
|
getHttpBodyOrBuilder()
public HttpBodyOrBuilder getHttpBodyOrBuilder()
The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have
an upper limit on the number of instances it supports per request. When
this limit it is exceeded for an AutoML model, the
RawPredict
method returns an error. When this limit is exceeded for a custom-trained
model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model.
This schema applies when you deploy the Model
as a DeployedModel
to an
Endpoint and use the
RawPredict
method.
.google.api.HttpBody http_body = 2;
Returns |
---|
Type | Description |
com.google.api.HttpBodyOrBuilder | |
public Parser<RawPredictRequest> getParserForType()
Overrides
public int getSerializedSize()
Returns |
---|
Type | Description |
int | |
Overrides
public final UnknownFieldSet getUnknownFields()
Overrides
hasHttpBody()
public boolean hasHttpBody()
The prediction input. Supports HTTP headers and arbitrary data payload.
A DeployedModel may have
an upper limit on the number of instances it supports per request. When
this limit it is exceeded for an AutoML model, the
RawPredict
method returns an error. When this limit is exceeded for a custom-trained
model, the behavior varies depending on the model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a Model.
This schema applies when you deploy the Model
as a DeployedModel
to an
Endpoint and use the
RawPredict
method.
.google.api.HttpBody http_body = 2;
Returns |
---|
Type | Description |
boolean | Whether the httpBody field is set.
|
Returns |
---|
Type | Description |
int | |
Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public RawPredictRequest.Builder newBuilderForType()
protected RawPredictRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
public RawPredictRequest.Builder toBuilder()
public void writeTo(CodedOutputStream output)
Overrides